Data scientist
Resume:
COMPREHENSIVE BACKGROUND
Image processing in biophysics: analyzing data from electron microscope image using R, awk, and bash scripts.
Over 10 years experience in developing post-processing applications with programming Language: C / C++, Objective C, Visual Basic, Fortran.
Developing skills under certified programs: R, Python, MySQL, Java, MATLAB, Git, Cloud computing.
Data analysis skills: Practical Machine Learning, Data cleaning, statistical inference, regression, and correlation models, Predictive modeling.
Over 6 years experience in Linux/Unix shell scripting: Bash programming, awk, GNU Emacs, Vim, Nano.
High-performance computing (HPC)
Web programming: HTML, CSS, JSP, Java Script.
Computational image processing (Spider, Frealign, Relion) of biophisical systems.
System administration: Hardware and Network Fixing.
Software Applications: Microsoft Word, Microsoft Access, Microsoft Excel, Microsoft Power point, Mathematica, Gnuplot, Visual Molecular dynamics (VMD), Adobe Photoshop, LATEX
Molecular Dynamic and Monte Carlo modeling packages: LAMMPS, GROMAC. WORK EXPERIENCES
Image processing application developer (2019): Developing fast and efficient automation scripts for analyzing electron microscope images in order to study the structure and dynamics of proteins. Assembling a high-end server.
Team Size: 5
Project Duration: 3 months
Role in the Project: data analyst, developer, hardware engineer.
Technology used: R, bash, awk, Relion, Frealign, Spider.
Research assistant at Virginia Commonwealth University (Aug 2013-December 2018): Molecular simulations and analyzing simulation data by developing efficient post- processing C++ programs.
o Project Description: Studying hydrogen bond dynamics under electric fields:
Team Size: 4
Mahdi Shafiei
Ph.D.
Work Authorization in U.S.: OPT EAD starting at January 1st,
2019 valid up to 3 years.
VCU Department of Chemistry
1001 West Main St. Richmond VA.
23220
www.linkedin.com/in/mmahdiShafiei
github.com/mehdishafiei
*************@***.***
Project Duration: 5 years
Role in the Project: Main data analyst, application developer, graph producer, principle author.
Technology used: C++ (Object Oriented Programming), Linux (Bash scripting), awk, HPC(openMP, MPI).
o Project Description: Introduction of a generalized framework of hydrogen bonding:
Team Size: 3
Project Duration: 4 years
Role in the Project: Main scientist, application developer, author.
Technology used: C++, Bash, awk, MS office, Inkscape, Mendeley
Chief developer of “Euphorai” (Nov 2018-present): a health prediction tool. We develop an integrated system to predict health status via machine learning and time predictive algorithms and send heads up messages using IOT. We have prepared a web and app prototype.
Team Size: 4
Project Duration: 2 months
Role in the Project: Machine learning Engineer, web and mobile app developer, application developer, data base designer.
Technology used: Shiny R, SQL, Angular JS, adobe XD, Photoshop, Time predictive algorithms is R.
Web developer at Venus (2013): Developing and maintaining web applications for small businesses.
Team Size: 9
Project Duration: 7 months
Role in the Project: System administrator, web designer.
Technology used: HTML, CSS, JSP for front-end and java server pages for the back-end, and MySQL for the database.
Machine learning and data science practices: Accomplishing data science assignments: Data cleaning, exploratory data analysis, machine learning,
Team Size: 1
Project Duration: 2 years
Role in the Project: Trainee.
Technology used: R, Matlab/Octave, Python, SQL, AWS.
Teaching assistant at Virginia Commonwealth University(Aug. 2013-Sep. 2018): teaching general and physical chemistry.
Several volunteering jobs as scientific judge and assistant in Virginia high schools in the last 5 years.
Researcher at Zanjan University(2009-2012): Developing C++ codes for event-oriented simulation of condensed mater systems.
AWARD AND HONORS
Third place award in VCU 2018 Health hack: Meeting Veteran’s Need. We developed a smart system for predicting anxiety attacks using time predictive and machine learning algorithms.
Pitching euphoria in Shark tank event in Williamsburg, VA. Professional Skills
Strong analytical, quantitative, and computing skills – involving statistical data analysis, predictive modeling, and mathematical and simulation modeling of applied problem
Ten years experience in coding languages and analyzing more than ~1000 of large data samples produced by molecular modeling simulations
Eight years experience developing, testing, commissioning and maintaining data
Excellent problem-solving skills in both independent and team environment
Experienced with building deploying and troubleshooting web services and independently learning new equipment.
Adept Communicator – the ability to synthesize and present complex technical information and concepts to both expert and lay audience in verbal and written form.
Collaborative – Work in several cross-discipline partnerships, and Capable of working within specific timelines and deadlines
Strong leadership – mentored more than ~1000 students in learning techniques and guided research. EDUCATION
Ph. D. in Computational Chemical Physic
Virginia Commonwealth University, Richmond, VA.
Aug 2013-Nov. 2018
Data Science Specialization (Online certified course) Johns Hopkins University
March 2017-Present
Toastmaster
Communication and leadership development
March 2017-June 2018
M. Sc. in physics
The University of Zanjan, Zanjan, Iran.
2008-2011
Machine Learning
Stanford University (Coursera, Online) taught by Andrew Ng. Nov. 2018 -Present
PUBLICATIONS
M. Shafiei, M. von Domaros, D. Bratko and A. Luzar, " Anisotropic Structure and Dynamics of Water under Static Electric Fields," J Chem. Phys. (2019).
M. Shafiei, D. Bratko and A. Luzar, " Anisotropic Structure and Dynamics of Water under Static Electric Fields," (Under Preparation).
M. Shafiei, D. Bratko and A. Luzar, "Studying the dynamics of water under alternating electric field,” (Under Preparation).
Foulaadvand, M. E.; Shafiei, M. One-dimensional Brownian motion in hard rods: The adiabatic piston problem. Europhys. Lett. 2013, 104, 30002.
Monte Carlo Simulation of One-Dimensional Gas of Hard Needles. http://www.gammajournal.ir/indexen.htm
Shafiei, M.; Bratko, D.; Luzar, A Unified Framework for Hydrogen Bond Dynamics in Water, Gordon Research Conference: Water and Aqueous solutions, July 22-27, 2018, Holderness, NH.
Shafiei, M.; Bratko, D.; Luzar, Generalized Framework For Studying Hydrogen Bond Dynamics, Virginia Academy of Science, May 23-25, 2018, Longwood, VA.
Shafiei, M.; Bratko, D.; Luzar, Water Hydrogen Bond Dynamics under Electric Field, American Physical Society meeting
(March 5-9th, 2018, Los Angeles, CA.
Shafiei, M.; Bratko, D.; Luzar, A. Dynamics of water under an electric field, 4th Virginia Soft Matter Workshop, Oct 29th, 2016, Richmond, VA.
Shafiei, M.; Bratko, D.; Luzar, A. Kinetics of Hydrogen Bond of Water and Application to a Water-Surface, Sep 4th, 2017, Harrisonburg, VA.
Contact this candidate